Flux 2 Klein 4B Edit | Fast Image Editing API

FLUX.2 Klein 4B Edit

FLUX.2 Klein 4B Edit is a lightweight yet powerful image editing model. Upload images and describe your edits in natural language — the model transforms styles, modifies content, and applies effects with fast generation and affordable pricing.

Why Choose This?

Text-guided editing Describe edits in natural language — transform styles, modify content, apply effects, and more.
Multi-image input Upload multiple reference images for context-aware editing.
Flexible output sizing Optionally set output size, or leave empty to match input image dimensions.
Prompt Enhancer Built-in tool to automatically improve your prompts for better results.
Lightweight and fast 4B parameter model optimized for quick turnaround at the lowest cost.

Parameters

Parameter	Required	Description
prompt	Yes	Text description of the desired edit
images	Yes	Source images to edit (can add multiple)
size	No	Output dimensions (empty = same as input image)
seed	No	Random seed for reproducibility (-1 for random)

How to Use

Write your prompt — describe the edit you want (e.g., "Change image1 to the comic style", "add sunset lighting").
Upload images — add source images using "+ Add Item" button.
Set size (optional) — specify output dimensions or leave empty to match input.
Set seed — use -1 for random, or specify a number for reproducibility.
Run — submit and download the edited image.

Pricing

Item	Cost
Per image	$0.012

Simple flat-rate pricing regardless of image size.

Best Use Cases

Style Transfer — Transform images to comic, anime, painting, or other styles.
Quick Edits — Fast, affordable edits for creative iteration.
Batch Processing — Low cost enables large-scale image editing.
Content Transformation — Change moods, lighting, or visual themes.
Prototyping — Rapidly test editing ideas before using higher-tier models.

Pro Tips

Be specific in your prompt — clearly describe what should change.
Leave size empty to preserve original image dimensions.
Use the same seed to compare different prompts on the same image.
Reference images by number in prompts (e.g., "Change image1 to...").

Notes

If size is not specified, output matches input image dimensions.
For best results, use high-quality source images.
Need LoRA support? Try FLUX.2 Klein 4B Edit LoRA.

Related Models

FLUX.2 Klein 4B Edit LoRA — Edit with LoRA support for custom styles.
FLUX.2 Klein 9B Edit — Higher quality 9B version.
FLUX.2 Klein 4B Text-to-Image — Text-to-image generation.

Flux 2 Klein 4b Edit API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-klein-4b/edit with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Flux 2 Klein 4b Edit below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-klein-4b/edit" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "seed": -1,
    "enable_sync_mode": false,
    "enable_base64_output": false
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("wavespeed-ai/flux-2-klein-4b/edit", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "seed": -1,
        "enable_sync_mode": false,
        "enable_base64_output": false
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/flux-2-klein-4b/edit",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "seed": -1,
    "enable_sync_mode": false,
    "enable_base64_output": false
}
)

print(output["outputs"][0])  # → URL of the generated output

Flux 2 Klein 4b Edit API — Frequently asked questions

What is the Flux 2 Klein 4b Edit API?

Flux 2 Klein 4b Edit is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. FLUX.2 [klein] 4B Edit enables precise image-to-image editing with natural language instructions and multi-reference support. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Flux 2 Klein 4b Edit API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/flux-2-klein-4b-edit.

How much does Flux 2 Klein 4b Edit cost per run?

Flux 2 Klein 4b Edit starts at $0.012 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Flux 2 Klein 4b Edit accept?

Key inputs: `prompt`, `images`, `seed`, `enable_base64_output`, `enable_sync_mode`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/flux-2-klein-4b-edit.

How long does Flux 2 Klein 4b Edit take to generate?

Average end-to-end generation time on WaveSpeedAI is around 13 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Flux 2 Klein 4b Edit outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

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